Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3D3B870F530987E517FE1E2E2727B5D72DBD306DA8903E5E2E987AC1696C14EC1308A |
|
CONTENT
ssdeep
|
768:MI8EIQCGHG1W4v5lYQliXO/z8B5E8bHivwnU83i4Hp2HMhXys72qs2cKlqUDs1K7:v8BTGm1Xvt6OgLDU83/H2MhXysVMk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c150b5cccbaa5d7 |
|
VISUAL
aHash
|
38007fff38512173 |
|
VISUAL
dHash
|
62f8ce35a2a341c3 |
|
VISUAL
wHash
|
38007fff38532173 |
|
VISUAL
colorHash
|
31080002200 |
|
VISUAL
cropResistant
|
8080804996ac692d,fe80828282c280fa,82b2ce8e9b9b9392,a1b640404367424a,62f8ce35a2a341c3 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)